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Mendeley readers
Attention Score in Context
| Chapter title |
Mapping the genomic binding sites of the activated retinoid x receptor in murine bone marrow-derived macrophages using chromatin immunoprecipitation sequencing.
|
|---|---|
| Chapter number | 2 |
| Book title |
Steroid Receptors
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-1346-6_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1345-9, 978-1-4939-1346-6
|
| Authors |
Bence Daniel, Balint L Balint, Zsuzsanna S Nagy, Laszlo Nagy, Balint L. Balint, Zsuzsanna S. Nagy |
| Abstract |
Chromatin immunoprecipitation followed by massively parallel sequencing (ChIP-Seq) is a powerful technique to map the genomic location of a given chromatin bound factor (i.e., transcription factors, cofactors) or epigenetic marks, such as histone modification. The procedure is based on cross-linking of proteins to DNA followed by the capture of the protein-DNA complexes by "ChIP-grade" antibodies. In this chapter we describe in detail the experimental method developed in our laboratory to investigate in vivo the DNA-binding characteristics of a key heterodimeric nuclear receptor, the retinoid X receptor (RXR) in murine bone marrow-derived macrophages. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Lecturer > Senior Lecturer | 2 | 15% |
| Professor > Associate Professor | 2 | 15% |
| Researcher | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 46% |
| Medicine and Dentistry | 3 | 23% |
| Immunology and Microbiology | 1 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2014.
All research outputs
#20,236,620
of 22,763,032 outputs
Outputs from Methods in molecular biology
#9,864
of 13,088 outputs
Outputs of similar age
#264,835
of 305,296 outputs
Outputs of similar age from Methods in molecular biology
#404
of 596 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 596 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.